Human Aware Robotics Modeling Human Motor Skills For The Design Planning And Control Of A New Generation Of Robotic Devices

Author : Giuseppe Averta
Publisher : Springer Nature
ISBN 13 : 3030925218
Total Pages : 284 pages
Book Rating : 4.15/5 ( download)

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Download or read book Human-Aware Robotics: Modeling Human Motor Skills for the Design, Planning and Control of a New Generation of Robotic Devices written by Giuseppe Averta and published by Springer Nature. This book was released on 2022-01-25 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book moves from a thorough investigation of human capabilities during movements and interactions with objects and environment and translates those principles into the design planning and control of innovative mechatronic systems, providing significant advancements in the fields of human–robot interaction, autonomous robots, prosthetics and assistive devices. The work presented in this monograph is characterized by a significant paradigmatic shift with respect to typical approaches, as it always place the human at the center of the technology developed, and the human represents the starting point and the actual beneficiary of the developed solutions. The content of this book is targeted to robotics and neuroscience enthusiasts, researchers and makers, students and simple lovers of the matter.

Author : Matteo Bianchi
Publisher : Frontiers Media SA
ISBN 13 : 2889457958
Total Pages : 134 pages
Book Rating : 4.53/5 ( download)

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Download or read book Mapping Human Sensory-Motor Skills for Manipulation onto the Design and Control of Robots written by Matteo Bianchi and published by Frontiers Media SA. This book was released on 2019-03-25 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Humans are endowed with extraordinary sensory-motor capabilities that enable a successful interaction with and exploration of the environment, as is the case of human manipulation. Understanding and modeling these capabilities represents an important topic not only for neuroscience but also for robotics in a mutual inspiration, both to inform the design and control of artificial systems and, at the same time, to increase knowledge on the biological side. Within this context, synergies -- i.e., goal-directed actions that constrain multi DOFs of the human body and can be defined at the kinematic, muscular, neural level -- have gained increasing attention as a general simplified approach to shape the development of simple and effective artificial devices. The execution of such purposeful sensory-motor primitives on the biological side leverages on the interplay of the sensory-motor control at central and peripheral level, and the interaction of the human body with the external world. This interaction is particularly important considering the new concept of robotic soft manipulation, i.e. soft, adaptable yet robust robotic hands that can deform with the external environment to multiply their grasping and manipulation capabilities. Under this regard, a preeminent role is reserved to touch, being that skin isour primary organ to shape our knowledge of the external world and, hence, to modify it, in interaction with the efferent parts. This Research Topic reports results on the mutual inspiration between neuroscience and robotics, and on how it is possible to translate neuroscientific findings on human manipulation into engineering guidelines for simplified systems able to take full advantage from the interaction and hence exploitation of environmental constraints for task accomplishment and knowledge acquisition.

Author : Jun Ueda
Publisher : Academic Press
ISBN 13 : 0128031522
Total Pages : 358 pages
Book Rating : 4.20/5 ( download)

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Download or read book Human Modeling for Bio-Inspired Robotics written by Jun Ueda and published by Academic Press. This book was released on 2016-09-02 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human Modelling for Bio-inspired Robotics: Mechanical Engineering in Assistive Technologies presents the most cutting-edge research outcomes in the area of mechanical and control aspects of human functions for macro-scale (human size) applications. Intended to provide researchers both in academia and industry with key content on which to base their developments, this book is organized and written by senior experts in their fields. Human Modeling for Bio-Inspired Robotics: Mechanical Engineering in Assistive Technologies offers a system-level investigation into human mechanisms that inspire the development of assistive technologies and humanoid robotics, including topics in modelling of anatomical, musculoskeletal, neural and cognitive systems, as well as motor skills, adaptation and integration. Each chapter is written by a subject expert and discusses its background, research challenges, key outcomes, application, and future trends. This book will be especially useful for academic and industry researchers in this exciting field, as well as graduate-level students to bring them up to speed with the latest technology in mechanical design and control aspects of the area. Previous knowledge of the fundamentals of kinematics, dynamics, control, and signal processing is assumed. Presents the most recent research outcomes in the area of mechanical and control aspects of human functions for macro-scale (human size) applications Covers background information and fundamental concepts of human modelling Includes modelling of anatomical, musculoskeletal, neural and cognitive systems, as well as motor skills, adaptation, integration, and safety issues Assumes previous knowledge of the fundamentals of kinematics, dynamics, control, and signal processing

Author : Nicoletta Noceti
Publisher : Springer Nature
ISBN 13 : 3030467325
Total Pages : 351 pages
Book Rating : 4.26/5 ( download)

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Download or read book Modelling Human Motion written by Nicoletta Noceti and published by Springer Nature. This book was released on 2020-07-09 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new frontiers of robotics research foresee future scenarios where artificial agents will leave the laboratory to progressively take part in the activities of our daily life. This will require robots to have very sophisticated perceptual and action skills in many intelligence-demanding applications, with particular reference to the ability to seamlessly interact with humans. It will be crucial for the next generation of robots to understand their human partners and at the same time to be intuitively understood by them. In this context, a deep understanding of human motion is essential for robotics applications, where the ability to detect, represent and recognize human dynamics and the capability for generating appropriate movements in response sets the scene for higher-level tasks. This book provides a comprehensive overview of this challenging research field, closing the loop between perception and action, and between human-studies and robotics. The book is organized in three main parts. The first part focuses on human motion perception, with contributions analyzing the neural substrates of human action understanding, how perception is influenced by motor control, and how it develops over time and is exploited in social contexts. The second part considers motion perception from the computational perspective, providing perspectives on cutting-edge solutions available from the Computer Vision and Machine Learning research fields, addressing higher-level perceptual tasks. Finally, the third part takes into account the implications for robotics, with chapters on how motor control is achieved in the latest generation of artificial agents and how such technologies have been exploited to favor human-robot interaction. This book considers the complete human-robot cycle, from an examination of how humans perceive motion and act in the world, to models for motion perception and control in artificial agents. In this respect, the book will provide insights into the perception and action loop in humans and machines, joining together aspects that are often addressed in independent investigations. As a consequence, this book positions itself in a field at the intersection of such different disciplines as Robotics, Neuroscience, Cognitive Science, Psychology, Computer Vision, and Machine Learning. By bridging these different research domains, the book offers a common reference point for researchers interested in human motion for different applications and from different standpoints, spanning Neuroscience, Human Motor Control, Robotics, Human-Robot Interaction, Computer Vision and Machine Learning. Chapter 'The Importance of the Affective Component of Movement in Action Understanding' of this book is available open access under a CC BY 4.0 license at link.springer.com.

Author : Chenguang Yang
Publisher : CRC Press
ISBN 13 : 1000395170
Total Pages : 184 pages
Book Rating : 4.74/5 ( download)

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Download or read book Robot Learning Human Skills and Intelligent Control Design written by Chenguang Yang and published by CRC Press. This book was released on 2021-06-21 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last decades robots are expected to be of increasing intelligence to deal with a large range of tasks. Especially, robots are supposed to be able to learn manipulation skills from humans. To this end, a number of learning algorithms and techniques have been developed and successfully implemented for various robotic tasks. Among these methods, learning from demonstrations (LfD) enables robots to effectively and efficiently acquire skills by learning from human demonstrators, such that a robot can be quickly programmed to perform a new task. This book introduces recent results on the development of advanced LfD-based learning and control approaches to improve the robot dexterous manipulation. First, there's an introduction to the simulation tools and robot platforms used in the authors' research. In order to enable a robot learning of human-like adaptive skills, the book explains how to transfer a human user’s arm variable stiffness to the robot, based on the online estimation from the muscle electromyography (EMG). Next, the motion and impedance profiles can be both modelled by dynamical movement primitives such that both of them can be planned and generalized for new tasks. Furthermore, the book introduces how to learn the correlation between signals collected from demonstration, i.e., motion trajectory, stiffness profile estimated from EMG and interaction force, using statistical models such as hidden semi-Markov model and Gaussian Mixture Regression. Several widely used human-robot interaction interfaces (such as motion capture-based teleoperation) are presented, which allow a human user to interact with a robot and transfer movements to it in both simulation and real-word environments. Finally, improved performance of robot manipulation resulted from neural network enhanced control strategies is presented. A large number of examples of simulation and experiments of daily life tasks are included in this book to facilitate better understanding of the readers.

Author : Andrea Thomaz
Publisher :
ISBN 13 : 9781680832082
Total Pages : 140 pages
Book Rating : 4.85/5 ( download)

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Download or read book Computational Human-Robot Interaction written by Andrea Thomaz and published by . This book was released on 2016-12-20 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Human-Robot Interaction provides the reader with a systematic overview of the field of Human-Robot Interaction over the past decade, with a focus on the computational frameworks, algorithms, techniques, and models currently used to enable robots to interact with humans.

Author : Bruno Siciliano
Publisher : Springer
ISBN 13 : 3642290418
Total Pages : 284 pages
Book Rating : 4.11/5 ( download)

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Download or read book Advanced Bimanual Manipulation written by Bruno Siciliano and published by Springer. This book was released on 2012-04-10 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dexterous and autonomous manipulation is a key technology for the personal and service robots of the future. Advances in Bimanual Manipulation edited by Bruno Siciliano provides the robotics community with the most noticeable results of the four-year European project DEXMART (DEXterous and autonomous dual-arm hand robotic manipulation with sMART sensory-motor skills: A bridge from natural to artificial cognition). The volume covers a host of highly important topics in the field, concerned with modelling and learning of human manipulation skills, algorithms for task planning, human-robot interaction, and grasping, as well as hardware design of dexterous anthropomorphic hands. The results described in this five-chapter collection are believed to pave the way towards the development of robotic systems endowed with dexterous and human-aware dual-arm/hand manipulation skills for objects, operating with a high degree of autonomy in unstructured real-world environments.

Author : Maha Salem
Publisher : Logos Verlag Berlin GmbH
ISBN 13 : 3832532978
Total Pages : 247 pages
Book Rating : 4.70/5 ( download)

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Download or read book Conceptual Motorics - Generation and Evaluation of Communicative Robot Gesture written by Maha Salem and published by Logos Verlag Berlin GmbH. This book was released on 2013-01-15 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do humans perceive communicative gesture behavior in robots? Although gesture is a crucial feature of social interaction, this research question is still largely unexplored in the field of social robotics. The present work thus sets out to investigate how robot gesture can be used to design and realize more natural and human-like communication capabilities for social robots. The adopted approach is twofold. Firstly, the technical challenges encountered when implementing a speech-gesture generation model on a robotic platform are addressed. The realized framework enables a humanoid robot to produce finely synchronized speech and co-verbal hand and arm gestures. In contrast to many existing systems, these gestures are not limited to a predefined repertoire of motor actions but are flexibly generated at run-time. Secondly, the achieved expressiveness is exploited in controlled experiments to gain a deeper understanding of how robot gesture might impact human experience and evaluation of human-robot interaction. The findings reveal that participants evaluate the robot more positively when non-verbal behaviors such as hand and arm gestures are displayed along with speech. Surprisingly, this effect was particularly pronounced when the robot's gesturing behavior was partly incongruent with speech. These findings contribute new insights into human perception of communicative robot gesture and ultimately support the presented approach of endowing social robots with such non-verbal behaviors.

Author : Edward Y L Gu
Publisher : Springer Science & Business Media
ISBN 13 : 3642390471
Total Pages : 600 pages
Book Rating : 4.70/5 ( download)

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Download or read book A Journey from Robot to Digital Human written by Edward Y L Gu and published by Springer Science & Business Media. This book was released on 2013-07-24 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with a solid set of diversified and essential tools for the theoretical modeling and control of complex robotic systems, as well as for digital human modeling and realistic motion generation. Following a comprehensive introduction to the fundamentals of robotic kinematics, dynamics and control systems design, the author extends robotic modeling procedures and motion algorithms to a much higher-dimensional, larger scale and more sophisticated research area, namely digital human modeling. Most of the methods are illustrated by MATLABTM codes and sample graphical visualizations, offering a unique closed loop between conceptual understanding and visualization. Readers are guided through practicing and creating 3D graphics for robot arms as well as digital human models in MATLABTM, and through driving them for real-time animation. This work is intended to serve as a robotics textbook with an extension to digital human modeling for senior undergraduate and graduate engineering students. At the same time, it represents a comprehensive reference guide for all researchers, scientists and professionals eager to learn the fundamentals of robotic systems as well as the basic methods of digital human modeling and motion generation.

Author :
Publisher :
ISBN 13 :
Total Pages : 486 pages
Book Rating : 4.20/5 ( download)

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Download or read book Aerospace Medicine and Biology written by and published by . This book was released on 1991 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: